公开(公告)号：US20240135547A1

公开(公告)日：2024-04-25

申请号：US18275668

申请日：2022-02-11

Applicant: CALIPSA LIMITED

Inventor： SIDDHARTH AGRAWAL ,  ASHWIN D'CRUZ ,  CHRIS TEGHO ,  DAVID HALL ,  BORIS PLOIX

IPC: G06T7/20 ,  G06T7/62 ,  G06V10/25 ,  G06V10/74 ,  G06V20/70

CPC classification number: G06T7/20 ,  G06T7/62 ,  G06V10/25 ,  G06V10/761 ,  G06V20/70 ,  G06V2201/07

Abstract: The present invention relates to identifying and/or generating high quality training data. More particularly, the present invention relates to determining a subset of images from a dataset that can be used as substantially high quality training data for the training of movement detection systems.
Aspects and/or embodiments seek to provide a system and/or method of generating substantially high quality training data for a security event detection method and/or system using video data from surveillance cameras as input data.

公开(公告)号：US20240257492A1

公开(公告)日：2024-08-01

申请号：US18560541

申请日：2022-05-17

Applicant: CALIPSA LIMITED

Inventor： SIDDARTH AGRAWAL ,  CHRISTOPHER TEGHO ,  ASHWIN D'CRUZ ,  DAVID HALL ,  BORIS PLOIX

IPC: G06V10/70 ,  G06T3/40 ,  G06V20/40

CPC classification number: G06V10/70 ,  G06T3/40 ,  G06V20/40

Abstract: The present invention relates to generating training data for computer models, specifically video detections models, using transfer learning techniques. More particularly, the present invention relates to downsampling and upscaling substantially high-quality training data for the training of a new computer model to be used as a video detection model. Aspects and/or embodiments seek to provide a system and/or method of using transfer learning techniques to generate training data for new computer models in security event detection methods and/or systems using image data from surveillance cameras as input data.

公开(公告)号：US20240233137A9

公开(公告)日：2024-07-11

申请号：US18275668

申请日：2022-02-11

Applicant: CALIPSA LIMITED

Inventor： SIDDHARTH AGRAWAL ,  ASHWIN D'CRUZ ,  CHRIS TEGHO ,  DAVID HALL ,  BORIS PLOIX

IPC: G06T7/20 ,  G06T7/62 ,  G06V10/25 ,  G06V10/74 ,  G06V20/70

CPC classification number: G06T7/20 ,  G06T7/62 ,  G06V10/25 ,  G06V10/761 ,  G06V20/70 ,  G06V2201/07

Abstract: The present invention relates to identifying and/or generating high quality training data. More particularly, the present invention relates to determining a subset of images from a dataset that can be used as substantially high quality training data for the training of movement detection systems.
Aspects and/or embodiments seek to provide a system and/or method of generating substantially high quality training data for a security event detection method and/or system using video data from surveillance cameras as input data.